Evidence map›Paper›PMID 42018034›Full record

SynthesisBrain imaging and behavior2026

A systematic review of global signal topography in aging, neuropsychiatric disorders, and cognitive task performance.

Qinqin Zhu, Wei Wang, Shuxian Wu, Ling Zhang, Hongyuan Ding, Yi Zhu, Ming Qi, Shui Tian

Abstract readSystematic ReviewReview
PubMed Publisher
In one paragraph

Synthesis in Brain imaging and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Qinqin Zhu *Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, China.
Wei Wang *Department of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, China.
Shuxian WuDepartment of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, China.
Ling ZhangDepartment of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, China.
Hongyuan DingDepartment of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, China.
Yi ZhuRehabilitation Center, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Jiangsu Province, 210029, Nanjing, China.
Ming QiDepartment of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, China. qiming@njmu.edu.cn.
Shui TianDepartment of Radiology, The First Affiliated Hospital with Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu Province, 210029, China. shuitian1590@njmu.edu.cn.

Funding

Jiangsu Provincial Natural Science Youth Fund BK20241120Key Technologies Research and Development Program 2023YFC3603605Liyang City's 2023 Annual research and development Plan Follows Nanjing Project LC2024001National Natural Science Foundation of China 82401788Science & Technology Department of Jiangsu Province BE2023778
6 · The paper itself

Abstract

Neuropsychiatric disorders are one of the leading causes of disability worldwide, placing considerable strain on healthcare systems and resulting in significant social and economic consequences. Despite the rising incidence of these disorders, their neuropathological mechanisms remain inadequately studied. In recent years, the rapid development of functional magnetic resonance imaging (fMRI) as a non-invasive brain functional imaging technology has promoted the research of neuropsychiatric disorders into a new stage. The global signal (GS) is the average signal of all gray matter voxels in the brain, which represents the overall fluctuation of the blood oxygenation level dependent (BOLD) activity across the entire brain. In addition to non-neuronal signals, GS also encompasses a significant number of neuronal signals, positioning it as a potentially crucial and valuable neuroimaging biomarker for neuropsychiatric disorders. In the current article, we first introduce the basic principles of GS and the dedifferentiation phenomenon that occurs with aging. Next, we summarize the progress of GS applications in the study of neuropsychiatric disorders and cognitive tasks, highlighting the GS topography changes observed across different conditions. Finally, we proposed future directions for further research on the dynamic changes of GS topography and its relationship with resting-state networks (RSNs). Research based on GS is expected to benefit the early identification and intervention of neuropsychiatric disorders.

Indexed as

AgingBrainCognitionMental DisordersBrain MappingHumansMagnetic Resonance ImagingGlobal signalNeuropsychiatric disordersResting-state functional MRI

Identifiers

PMID42018034

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.